It is a natural goal of any organization to maximize the return on investment of their machine learning (ML) projects. To do this, an organization must be aware of a number of pitfalls that can ...

So why are so many companies hesitant to jump on the machine learning bandwagon – and why is the success rate so low for those that do embark on these projects? Afterall, organizations such as ...

But from where I sit, running a company that enables a huge number of real-world machine-learning projects, it’s clear that machine learning is already forcing massive changes in the way ...

In 2017, Google started an open source project called Kubeflow that aims to bring distributed machine learning to Kubernetes ... Developers can submit ML training jobs created in TensorFlow ...

Traditional AI methods of language understanding depended on embedding rules of language into a system, but in this project, as with all modern machine learning, the system was fed enough data to ...